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Kalyan Bhagavan

Summary

Results-driven DevOps Engineer with 5+ years of experience in automating, optimizing, and securing cloud-native infrastructure and AI-driven applications. Adept at integrating DevOps best practices with AI/ML model deployment, ensuring scalable, efficient, and high-performing systems. Proven ability to collaborate across teams to deliver reliable, automated, and resilient solutions that accelerate software development lifecycle (SDLC).
• DevOps & Cloud Automation: Expertise in Kubernetes, Docker, Terraform, and Ansible for automating infrastructure deployment across AWS, GCP, and Azure. Proficient in CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD) to enhance deployment efficiency and minimize downtime.
• AI & GenAI Model Deployment: Skilled in deploying GenAI – LLM (Large Language Models) based solutions (Azure OpenAI, Gemini, LLaMA), with hands-on experience in AI interface development, function calling, retrieval-augmented generation (RAG), fine-tuning, and advanced prompt engineering for robust AI applications.
• Monitoring, Security & Scalability: Strong knowledge of logging, monitoring (Prometheus, Grafana, ELK Stack), and security best practices (DevSecOps, RBAC, Zero-Trust Models). Skilled in event-driven IoT services to handle large-scale, real-time AI applications while maintaining robust security and scalability.
• Infrastructure Reliability & Performance Tuning: Expertise in high-availability architectures, fault-tolerant systems, and disaster recovery strategies to ensure uninterrupted services. Proficient in container orchestration (K8s), service mesh (Istio), and edge AI deployments for scaling AI/ML workloads seamlessly.

Degree

Ecole Polytechnique Université de Tours – 2020

Languages

Anglais - Langue maternelle

Italien - Technique

Hindî - Courant

Français - Technique

Skills

Machine Learning
Deep Learning
Robotics
Programmation : C, Java, Python
Computer Vision
developpement logiciel
Capacités communicationnelle

Hobbies

  • devops cloud infrastructure